● About● Frontier Development Lab (NASA, ESA, Oxford)● Machine learning and
space● Case I: constellations and collision avoidance● Case II: thermospheric density …

We introduce the challenge of using machine learning effectively in space applications and
motivate the domain for future researchers. Machine learning can be used to enable greater …

Machine learning is revolutionizing space exploration by tackling massive datasets,
empowering astronauts, and driving scientific breakthroughs. From Deep Space 1's …

The many terabytes of data that are generated from space missions must be analyzed, and
accurate decisions must be made. This article highlights two important areas where …

Recent improvements in data collection volume from planetary and space physics missions
have allowed the application of novel data science techniques. The Cassini mission for …

Today, the most pressing scientific and engineering problems are typically nonlinear,
dynamic, and multidimensional in space and time. To capture such complexity, researchers …

Spacecraft are not only eye-catching because they go up riding loud rockets spitting fire.
Spacecraft are also remarkable data sources. The sea of data they generate is what …

T okyo—Both science fiction fans and scientists are eagerly anticipating tomorrow's
scheduled launch of NASA's Deep Space 1 mission. But it's not the destination—a close …

The origin of machine learning has significantly impacted various scientific domains, offering
novel solutions to longstanding challenges, particularly perception-related tasks. In space …

Planetary science missions and investigations are collecting increasingly large and complex
datasets. Autonomy and machine intelligence are playing an increasingly important role in …